AHA PALS vs LCAST

We continue to iterate based on real-time clinician feedback so that you will have the best experience providing life-saving care at the bedside. The AHA PALS app was developed by Harvard-trained physicians, in collaboration with the American Heart Association (AHA), to help fellow physicians, physician assistants, nurse practitioners, and emergency medical technicians (EMT) deliver the highest level of pediatric advanced life support (PALS) at the point-of-care. This project was inspired by the tremendous success of our AHA ACLS app, which has thousands of clinician users in over 180 countries. Importantly, real-time feedback from our clinician users continuously drives improvements in app design, features, and function. AHA PALS is the only app to have all content vetted by both the American Heart Association (AHA) science team (with license to use PALS content) and practicing Harvard-affiliated physicians. We owe it to our patients to use the best digital health tools to give them the highest chance of surviving acute life-threatening illnesses. To this end, we have developed an intuitive and rigorously vetted mobile app to assist healthcare clinicians—at any stage of training—navigate PALS at the bedside. You can purchase a yearly subscription which begins with a 3-day free trial. After completing the free trial, you will be charged for an annual subscription automatically. Features: - Intuitive design to rapidly access PALS pathways (i.e. cardiac arrest , tachycardia with pulse, bradycardia with pulse, post cardiac arrest care, and critical care references) - Includes all PALS content including drug therapy and dosing, reversible causes, etc. - Easy-to-read timers and ability to log rounds of CPR, epinephrine, and defibrillations. There are additional functionalities to log PALS Cardiac Arrest interventions beyond EPI, CPR , and shocks such as lidocaine and more. - We also added a new metronome feature to improve compression accuracy as well as a ROSC button. - Button within cardiac arrest algorithm that allows for rapid transition to post cardiac arrest care checklist once patient achieves ROSC - Relevant critical care references: (1) drugs used in PALS (i.e., medication names, indications, and doses); (2) vital signs in children; (3) pediatric color-coded length-based resuscitation tape (adapted from Breslow tape) ; (4) pediatric Glasgow Coma Scale - All content rigorously vetted by AHA science team and practicing Harvard-affiliated physicians - Regularly updated with the most up-to-date PALS content

The Lurie Children’s Child Injury Plausibility Assessment Support Tool (LCAST) is an app based on a validated Bruising Clinical Decision Rule (BCDR) called the TEN-4-FACESp. Use of this tool has the potential to improve recognition of abuse in young children with bruising. This app functions only as a screening tool and cannot be used to diagnose abuse. The app applies to children less than 4.0 years of age with bruising. If the child is older than 4.0 and/or bruising is not present, this tool cannot be used. In those circumstances, alternative methods of screening for abuse are needed. WHY FOCUS ON BRUISING? Bruising is the most common injury resulting from physical abuse and is the most overlooked or misdiagnosed antecedent injury prior to an abuse-related fatality or near-fatality in a young child. Bruising occurs from both accidental and abusive trauma, but differences identified by the TEN-4-FACESp bruising clinical decision rule may allow improved and earlier recognition of the abused child. ABOUT THE APP: The app is intended for clinical use by licensed healthcare professionals and providers. The app can inform decision-making and be used as an educational tool for learning about bruising characteristics that commonly result from abusive and accidental injury. The core feature of the app is an interactive 3D body model that allows the user to utilize visual cues of the human body to input clinical observations. The result is the opportunity to compare a child’s bruise findings to the published evidence resulting from a NIH-funded multi-center study. The data that drive the app are based on 2,161 patients of which 410 (19%) were classified by a multi-disciplinary panel of medical experts as abuse and 1,713 (79%) as accident. The TEN-4-FACESp bruising clinical decision rule resulted from analysis of 35 body regions and is 96% specific and 87% sensitive for distinguishing bruising from abuse versus accident. The TEN-4-FACESp has three components based on: 1) specific body regions with bruising, 2) patterned bruising, and 3) bruising anywhere on non-mobile infants. An affirmative finding for any one of the three TEN-4-FACESp components without a clear and reasonable explanation indicates a potential risk for abuse. The child may warrant further evaluation and consultation with an expert in child abuse should be considered. In addition to using the data in this app, the user should always check with a doctor before making any medical decisions.